Triple
T6751421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drums in the Night |
E154347
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Babusch
Babusch is a character in Bertolt Brecht’s play "Drums in the Night," appearing within its post–World War I German setting.
|
E616198
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Babusch | Statement: [Drums in the Night, hasCharacter, Babusch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babusch Context triple: [Drums in the Night, hasCharacter, Babusch]
-
A.
Babica
Babica is a mountain peak located in the Maków Beskids range in southern Poland.
-
B.
Babo
Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
-
C.
Baerbel
Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
-
D.
Baba
Baba is the wealthy, principled yet emotionally distant father of Amir in the film adaptation of "The Kite Runner."
-
E.
Baba
Baba is an honorific title used in South Asian cultures, particularly in Sikh and Punjabi traditions, to denote respect for an elder, spiritual leader, or revered figure.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Babusch Triple: [Drums in the Night, hasCharacter, Babusch]
Generated description
Babusch is a character in Bertolt Brecht’s play "Drums in the Night," appearing within its post–World War I German setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Babusch Target entity description: Babusch is a character in Bertolt Brecht’s play "Drums in the Night," appearing within its post–World War I German setting.
-
A.
Babica
Babica is a mountain peak located in the Maków Beskids range in southern Poland.
-
B.
Babo
Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
-
C.
Baerbel
Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
-
D.
Baba
Baba is the wealthy, principled yet emotionally distant father of Amir in the film adaptation of "The Kite Runner."
-
E.
Baba
Baba is an honorific title used in South Asian cultures, particularly in Sikh and Punjabi traditions, to denote respect for an elder, spiritual leader, or revered figure.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1dbc3a48190a35df5dad8c630e8 |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b1a0d7481908a813fa5c2e1ba6e |
completed | March 27, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69c70c82a2008190b0f5f859687a7de5 |
completed | March 27, 2026, 11:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70d7e3d748190ace98ad9cb9c425b |
completed | March 27, 2026, 11:06 p.m. |
Created at: March 27, 2026, 2:11 p.m.